India is experiencing rapid demographic and epidemiological transitions with NCDs causing significant disability, morbidity and mortality both in urban and rural populations and across all socioeconomic strata. According to the ICMR State Level Disease Burden Initiative, in 2016, NCDs accounted to a...n estimated 6.0 million deaths, constituting 62% of the total mortality of that year.
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The Knowledge Centre on Migration and Demography (KCMD) Data Catalogue is a table of data sources relevant to Migration and Demography policies. Each data source is listed with its summary description, the link to its web site and other metadata. The catalogue will include official EU and internatio...nal statistics, as well as important data sets at Member State level.
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As the Americas undergo profound demographic change and there are more persons aged 65 years or older than children younger than 5 years, it is crucial to recognize that national immunization programs must be redesigned to ensure comprehensive protection for individuals across the lifespan. By adopt...ing a life course approach (LCA) to immunization, vaccination programs can be tailored to close immunity gaps at different stages of life. The life course approach foresees the establishment of multiple strategies to reduce missed opportunities for vaccination according to age group. This technical document explains the key concepts of the LCA with a focus on immunization by vaccination, as well as the underlying biological mechanisms that require the application different vaccines at different life stages according to changes to the immune system and in the epidemiological situation of a community.
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According to the 2016 Nepal Demographic and Health Survey, 66% of Nepali households use mainly solid fuel for cooking on inefficient stoves. Incomplete fuel combustion of solid fuels emits greenhouse gases and harmful smoke, contributing to climate change, forest degradation, ill health and preventa...ble deaths. Further, the physical burden and time necessary to collect wood for fuel is borne primarily by women and children, thus compromising their productive time, such as social activities and education.
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We combine data on Chinese development projects with data from Demographic and Health Surveys to study the impact of Chinese aid on household welfare in sub-Saharan Africa. We use a novel methodology to test the effect of Chinese aid on three important development outcomes: education, health, and nu...trition. For each outcome, we use difference-in-difference estimations to compare household areas near Chinese project sites to control areas located farther away, before and after receiving Chinese aid. This empirical strategy rules out many confounding factors that can bias measuring the impact of Chinese aid on our outcome variables. First, we find that Chinese projects significantly improve education and child mortality in treatment areas, but do not significantly affect nutrition. Second, social sector projects have a larger effect on outcomes than economic projects. Third, we do not find significant effects for projects that ended more than five years before the post-treatment survey wave. Our results are robust to a host of robustness checks.
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According to the National Institute of Statistics and Demography (NSID) 168,094 persons out of Burkina Faso’s 14,017,262 inhabitants are living with a physical, sensory or mental disability. The numbers are questioned as the effort to collect in-depth statistics has not been great. Furthermore, mu...ch of the statistics is only collected in more densely populated provinces and towns and not in smaller rural communities. Handicap International (HI) estimates that the number is as high as 7 per cent.
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Core Indicators 2019: Health Trends in the Americas starts with a demographic overview of the Americas to demonstrate how the Region has changed over 25 years. These key demographic indicators provide valuable context to better understand the population’s characteristics and their impact on health.... Brief narratives accompany the graphics to highlight important information.
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15 July 2021. This report describes the demographics, clinical presentation, clinical outcomes, and risk factors among people living with HIV (PLHIV) who have been hospitalized for suspected or confirmed COVID-19.
The specific objectives of the analysis were to:
describe the clinical char...acteristics and outcomes of PLHIV hospitalized for COVID-19
assess whether PLHIV hospitalized with COVID-19 were at increased risk of presenting with severe or critical illness at admission and were at increased risk of in-hospital death compared to individuals not infected with HIV
assess risk factors associated with severe or critical illness at hospital admission and of in-hospital death among PLHIV hospitalized for COVID-19.
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This report presents findings from research conducted by Economist Impact to assess the health, demographic, social and economic impacts associated with different scenarios for financing the HIV epidemic across 13 selected countries in Sub-Saharan Africa. The sponsorship of UNAIDS towards this repor...t is gratefully acknowledged. However, the findings and ideas expressed herein represent those of Economist Impact. They do not necessarily reflect the views and opinions of UNAIDS, nor do they engage the responsibility of UNAIDS.
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To better adapt current case management practices and address excess mortality in otherwise treatable
cases will require better knowledge of the demographic characteristics of the patients and comorbidities
which can make severe dehydration harder to tolerate physiologically. With this in mind, a ...scoping review
was undertaken, to explore the literature and summarise the existing evidence on cholera mortality and
reported risk factors.
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Throughout the Americas, populations are aging and the Region is undergoing a rapid demographic transition. The aging index, which reflects the size of the older age groups per 100 compared to children under age 15, clearly demonstrates the increase in people aged 60 and older. Compared to global tr...ends, the Region of the Americas will have a larger number of people aged 60 and older than children under 15 by 2030, which is approximately 25 years before the global average. The COVID-19 pandemic has presented an unparalleled health crisis around the world. The impact on older persons and those with underlying health conditions has highlighted the challenges of addressing the needs of older populations during a public health emergency. Given this demographic transition it is essential to think about preparedness of systems and services to address this population’s needs, including an increase in emergency planning and protection of older populations.
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Accessed on 03.03.2020
The country recognizes the importance of family planning as they focus on achieving a demographic dividend. In order to improve the service delivery and supply chain, Senegal is strengthening its data management and reporting. Domestic resource mobilization for family plannin...g remains a key challenges for Senegal.
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DHS Further Analysis Reports No. 111
This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with use of antenatal care (ANC), health facility delive...ry, and timely postnatal care (PNC).
This study uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12 regions. We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use. We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery.
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DHS Methodological Report No. 20
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, and Tanzania to compare traditionally used additive methods with a data reduction method—principal component analysis (PCA).
We scored ...the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index.
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Updated: 27 December 2013
Basic Indicators | Nutrition | Health | HIV/AIDS | Education | Demographic Indicators | Economic Indicators | Women | Child Protection | The Rate Of Progress | Adolescents | Disparities By Residence | Disparities By Household Wealth | Early Childhood Development
Neonatal mortality is a major challenge in reducing child mortality rates in Nepal. Despite efforts by the Government of Nepal, data from the last three demographic and health surveys show a rise in the contribution of neonatal deaths to infant and child mortality. The Government of Nepal has implem...ented community-based programs that were piloted and then scaled up based on lessons learned. These programs include, but are not limited to ensuring safe motherhood, birth preparedness package, community-based newborn care package, and integrated management of childhood illnesses. Despite the implementation of such programs on a larger scale, their effective coverage is yet to be achieved. Health system challenges included an inadequate policy environment, funding gaps, inadequate procurement, and insufficient supplies of commodities, while human resource management has been found to be impeding service delivery. Such bottlenecks at policy, institutional and service delivery level need to be addressed incorporating health information in decision-making as well as working in partnership with communities to facilitate the utilization of available services.
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An estimated 1.3 billion people globally experience significant disability. This figure has grown over the last decade and will continue to rise due to demographic and epidemiological changes. In 2022, the World Health Organization launched the Global report on health equity for persons with disabil...ities. This report demonstrated that many persons with disabilities are still being left behind. Experiencing persistent health inequities, persons with disabilities die earlier, they have poorer health and functioning, and they are more affected by health emergencies than the general population. These differences are largely associated with unjust factors both inside and beyond the health sector and are avoidable. The Global Report called upon Member States to take actions to make health sector more inclusive for persons with disabilities through the primary health care approach. This will be essential for countries to make health coverage truly universal and to progress towards other health-related targets in the sustainable development goals.
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Heart failure (HF) is a global public health concern with disproportionate socioeconomic, morbidity and mortality burden on low- and middle-income countries (LMICs). This review summarises contemporary data on the demographic and clinical characteristics, aetiologies, treatment, economic burden and ...outcomes of HF in LMICs. Patients with HF in LMICs are younger than those from high-income countries (HICs) and present at advanced stages of the disease. Hypertension, ischaemic heart disease (IHD), cardiomyopathy (CMO), and rheumatic heart disease (RHD) are the leading causes of HF in LMICs. The contribution of infectious diseases to HF remains prominent in many LMICs. Most health facilities in LMICs lack adequate diagnostic tools for HF, and the use of evidence-based medical and device therapies is suboptimal. Further, HF in LMICs is associated with prolonged hospital stay and high in-hospital and one-year mortality. Finally, HF has profound economic impact on individual patients who, mostly, have no health insurance, and on societies where patients are young, comprising those who have the greatest potential to contribute to economic productivity.
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It is estimated that more than 311 000 women die of cervical
cancer each year. Of these deaths, 91% occur in low- and
middle-income countries. Demographic changes and a lack of
action mean that the number of deaths per year is projected
to reach 460 000 by 2040.